Multi-scenario based robust intensity-modulated proton therapy (IMPT) plans can account for set-up errors more effectively in terms of normal tissue sparing than planning target volume (PTV) based intensity-modulated photon plans in the head and neck region
- Martin Stuschke1, 2Email author,
- Andreas Kaiser1, 2,
- Jehad Abu Jawad1,
- Christoph Pöttgen1,
- Sabine Levegrün†1 and
- Jonathan Farr†2, 3
© Stuschke et al.; licensee BioMed Central Ltd. 2013
Received: 3 June 2013
Accepted: 13 June 2013
Published: 18 June 2013
In a previous report, we compared the conformity of robust intensity-modulated proton therapy (IMPT) plans with that of helical tomotherapy plans for re-irradiations of head and neck carcinomas using a fixed set-up error of 2 mm. Here, we varied the maximum set-up errors between 0 and 5 mm and compared the robust IMPT-plans with planning target volume (PTV) based intensity-modulated photon therapy (IMRT).
Seven patients were treated with a PTV-based tomotherapy plan. Set-up margins of 0, 2, and 5 mm were subtracted from the PTV to generate target volumes (TV) TV0mm, TV2mm, and TV5mm, for which robust IMPT-plans were created assuming range uncertainties of ±3.5% and using worst case optimization assuming set-up errors of 0, 2, and 5 mm, respectively. Robust optimization makes use of the feature that set-up errors in beam direction alone do not affect the distal and proximal margin for that beam. With increasing set-up errors, the body volumes that were exposed to a selected minimum dose level between 20% and 95% of the prescribed dose decreased. In IMPT-plans with 0 mm set-up error, the exposed body volumes were on average 6.2% ± 0.9% larger than for IMPT-plans with 2 mm set-up error, independent of the considered dose level (p < 0.0001, F-test). In IMPT-plans accounting for 5 mm set-up error, the exposed body volumes were by 11.9% ± 0.8% smaller than for IMPT-plans with 2 mm set-up error at a fixed minimum dose (p < 0.0001, F-test). This set-up error dependence of the normal tissue exposure around the TV in robust IMPT-plans corresponding to the same IMRT-plan led to a decrease in the mean dose to the temporal lobes and the cerebellum, and in the D2% of the brain stem or spinal cord with increasing set-up errors considered during robust IMPT-planning.
For recurrent head and neck cancer, robust IMPT-plan optimization led to a decrease in normal tissue exposure with increasing set-up error for target volumes corresponding to the same PTV.
The consideration of a 2 mm set-up error seems adequate for small targets in the head and neck region when daily online navigation is used [1, 2]. However, in the head and neck region, less frequent online correction protocols and off-line protocols correcting only systematic set-up errors may require margins between the clinical target volume (CTV) and the planning target volume (PTV) accounting for larger set-up errors of 5 mm or more [3, 4].
Robust intensity-modulated proton therapy (IMPT) treatment plan optimization, optimizing the dose distribution in the worst case of multiple scenarios covering possible realizations of set-up errors and density variations, can result in treatment plans that maintain target volume coverage and normal tissue sparing in the presence of set-up errors and range uncertainties [5–10]. A single scenario PTV based treatment planning may not be sufficient for IMPT because possible spatial deviations of dose gradients between spots can affect dose homogeneity within the PTV with set-up error [5, 11].
In a previous study, we compared dose conformity and normal tissue exposure of intensity-modulated photon plans for helical tomotherapy with robust IMPT-plans for set-up errors of 2 mm . Here, we test the performance of the robust multi-scenario based IMPT optimization to spare normal tissues around a given PTV per patient for different set-up errors varying between 0 and 5 mm. With increasing set-up errors, the CTV-PTV set-up margin contains an increasing portion of the PTV and robust IMPT optimization based on the CTV may lead to results which depend systematically on the set-up margin size.
The analysis was based on 7 patients with recurrent head and neck carcinomas who were re-irradiated using helical tomotherapy. Patients and tomotherapy treatment planning were described in a previous publication .
Intensity-modulated proton therapy planning
Target volumes TV0mm, TV2mm, and TV5mm were obtained from the original tomotherapy PTV of each patient by concentric shrinkage by 0, 2, and 5 mm, respectively. IMPT-plans were generated to cover TV0mm, TV2mm, and TV5mm using the field configurations described in the previous study . Robust optimization was used assuming a range, i.e. density, uncertainty of +/− 3.5%. In addition, maximum set-up errors of 0, 2, and 5 mm in each direction were considered in the robust optimization of the IMPT-plans based on TV0mm, TV2mm, and TV5mm, respectively. IMPT planning was performed using the RayStation v188.8.131.52 planning system as described by Fredrikson et al. . Robust optimization evaluates the penalties of the original plan and the plans with shifted beam isocenters corresponding to the maximum set-up errors and altered density scalings. Optimization of the pencil beam spot weights is performed to minimize the penalties of the worst case scenario. In a previous publication, IMPT-plans assuming set-up errors of 2 mm and using TV2mm as CTV were compared to tomotherapy plans optimized on the PTV, i.e. TV0mm. In the present study, we compared, for every patient, the robust IMPT-plans based on TV0mm, TV2mm, and TV5mm, assuming maximum set-up errors of 0, 2, and 5 mm, respectively (IMPT0mm, IMPT2mm, and IMPT5mm, respectively) with the original PTV-based tomotherapy photon plan. Differences in the dose distributions of the IMPT0mm-, IMPT2mm-, and IMPT5mm-plans reflect the performance of a robust scenario-based optimization to handle set-up errors in comparison to a PTV-based approach.
The effect of the set-up error on the body volume exposed to doses higher than x% of the prescribed dose (Vbodyx%), where 20% ≤ x% ≤ 95%, in the IMPT-plans IMPT0mm, IMPT2mm, and IMPT5mm, respectively, was analyzed using Proc Glm, SAS statistical software Version 9.2 (Cary, NC). The logarithm of the ratio of Vbodyx% exposed in plan IMPTymm to Vbodyx% exposed in plan IMPT2mm (i.e. Log(Vbodyx% in IMPTymm / Vbodyx% in IMPT2mm) was used as dependent variable, where ymm denotes a set-up error of y mm. The set-up error was used as an independent classification variable, the individual patient as a random variable, and the dose level x and the square of the dose level x·x as continuous regressor variables. Dose differences to organs at risk in the IMPTymm-plans compared with the IMPT2mm-plans were analyzed in a similar manner.
Exposed body volumes
The coverage of the robust IMPT-plans for 0, 2, and 5 mm set-up errors remained high with respect to the relevant target volumes TV0mm, TV2mm, and TV5mm. In the IMPT0mm-plans, the dose to 95% of the target volume was >98% of the prescribed dose for patients 1 and 6 and >100% of the prescribed dose for all other patients. In the IMPT2mm- and IMPT5mm-plans, the dose to 95% of the target volume was >95% of the prescribed dose for patient 1 and >100% for all other patients. The robustness against diagonal set-up errors was tested for the 2 and 5 mm IMPT-plans by shifting the plan isocenter by 1.5 or 3.5 mm in the lateral and ventro-dorsal directions and applying a density change of +3%. The IMPT5mm-plans were as robust against combined set-up errors of 3.5 mm in the directions specified above as the IMPT2mm-plan against set-up errors of 1.5 mm.
Normal tissue exposure
Set-up margins alone cannot ensure dose coverage of the CTV in IMPT-plans with multiple fields and high in-field dose gradients [5, 11]. Deviations in the position of these dose gradients in the patient from spot to spot due to set-up errors or range uncertainties can result in under- or overdosage inside the PTV. Robust IMPT optimization can lead to smooth dose gradients per field across a target volume and can diminish the risk of pencil beams stopping directly in front of an abutting normal tissue [5, 8, 9]. It makes use of the feature that set-up errors in beam direction alone do not affect the distal and proximal margin for that beam as also a beam-specific PTV-margin concept would do  but unlike the PTV concept of expanding the CTV by set-up margin used in photon therapy. Scanned particle beams can spare normal tissues in beam direction behind the target volume and conform to the proximal contour of the target volume so that a reduction of normal tissue exposure per beam can result. Unlike CTV expansion by set-up margins, the robust IMPT optimization method also considers the potential influence of lateral set-up errors on the water equivalent depth of the distal and proximal CTV border at a given lateral spot position due to lateral density inhomogeneities in the entrance channel, e.g. if bone is moved in front of the target volume at that spot position due to set-up error. Multi-scenario based robust IMPT-plans can maintain dose coverage of the target volume better than PTV-based IMPT-plans [5, 13]. On the other hand, the spatial dose distribution can be considered as independent of small set-up errors and organ motions for rotational or fixed-field intensity-modulated photon therapy . Thus, the PTV concept is usually adopted to account for set-up errors in intensity-modulated photon therapy. In this study, we showed that for recurrent head and neck carcinomas robust IMPT-plans perform the better relative to a photon intensity-modulated plan the larger the set-up margin as a part of the PTV is. This holds true for highly constrained IMPT field arrangements with up to 7 fields. Therefore, with increasing set-up margin portion of the PTV due to larger set-up errors, robust optimization can increase the on average lower conformity of IMPT in comparison with helical tomotherapy at or above the 50% isodose found in the previous study  for 2 mm set-up errors. Multiple scenarios, considered in robust optimization could also by linked by elastic deformations in the future to simulate internal motion and body deformation. The magnitude of range uncertainties assumed might also vary slightly from institution to institution .
Unlike the PTV-approach for photon IMRT, robust multi-scenario based IMPT optimization can increasingly reduce the normal tissue exposure around the target volume for recurrent head and neck cancer with increasing set-up margin portion of the PTV.
- Levegrün S, Pöttgen C, Abu Jawad J, Berkovic K, Hepp R, Stuschke M: Megavoltage computed tomography Image guidance with helical tomotherapy in patients with vertebral tumors: analysis of factors influencing interobserver variability. Int J Radiat Oncol Biol Phys 2013, 85: 561-569. 10.1016/j.ijrobp.2012.04.010View ArticlePubMedGoogle Scholar
- Schulte RW, Fargo RA, Meinass HJ, Slater JD, Slater JM: Analysis of head motion prior to and during proton beam therapy. Int J Radiat Oncol Biol Phys 2000, 47: 1105-1110. 10.1016/S0360-3016(00)00551-4View ArticlePubMedGoogle Scholar
- Houghton F, Benson RJ, Tudor GS, Fairfoul J, Gemmill J, Dean JC, Routsis DS, Jefferies SJ, Burnet NG: An assessment of action levels in imaging strategies in head and neck cancer using tomotherapy. are our margins adequate in the absence of image guidance? Clin Oncol (R Coll Radiol) 2009, 21: 720-727. 10.1016/j.clon.2009.08.005View ArticleGoogle Scholar
- Rudat V, Hammoud M, Pillay Y, Alardi AA, Mohamed A, Altuwaijri S: Impact of the frequency of online verifications on the patient set-up accuracy and set-up margins. Radiat Oncol 2011, 6: 101. 10.1186/1748-717X-6-101View ArticlePubMedPubMed CentralGoogle Scholar
- Stuschke M, Kaiser A, Pöttgen C, Lübcke W, Farr J: Potentials of robust intensity modulated scanning proton plans for locally advanced lung cancer in comparison to intensity modulated photon plans. Radiother Oncol 2012, 104: 45-51. 10.1016/j.radonc.2012.03.017View ArticlePubMedGoogle Scholar
- Stuschke M, Kaiser A, Abu Jawad J, Pöttgen C, Levegrün S, Farr J: Re-irradiation of recurrent head and neck carcinomas: comparison of robust intensity modulated proton therapy treatment plans with helical tomotherapy. Radiat Oncol 2013, 8: 93. 10.1186/1748-717X-8-93View ArticlePubMedPubMed CentralGoogle Scholar
- Fredriksson A, Forsgren A, Hardemark B: Minimax optimization for handling range and setup uncertainties in proton therapy. Med Phys 2011, 38: 1672-1684. 10.1118/1.3556559View ArticlePubMedGoogle Scholar
- Pflugfelder D, Wilkens JJ, Oelfke D: Worst case optimization: a method to account for uncertainties in the optimization of intensity modulated proton therapy. Phys Med Biol 2008, 53: 1689-1700. 10.1088/0031-9155/53/6/013View ArticlePubMedGoogle Scholar
- Unkelbach J, Chan TCY, Brotfeld T: Accounting for range uncertainties in the optimization of intensity modulated proton therapy. Phys Med Biol 2007, 52: 2755-2773. 10.1088/0031-9155/52/10/009View ArticlePubMedGoogle Scholar
- Liu W, Zhang X, Li Y, Mohan R: Robust optimization of intensity modulated proton therapy. Med Phys 2012, 39: 1079-1091. 10.1118/1.3679340View ArticlePubMedPubMed CentralGoogle Scholar
- Albertini F, Hug EB, Lomax AJ: Is it necessary to plan with safety margins for actively scanned proton therapy? Phys Med Biol 2011, 56: 4399-4413. 10.1088/0031-9155/56/14/011View ArticlePubMedGoogle Scholar
- Park PC, Zhi XR, Lee AK, Shoo N, Melancon AD, Zhang L, Dong L: A beam-specific planning target volume [PTV] design for proton therapy to account for setup and range uncertainties. Int J Radiat Oncol Biol Phys 2012, 82: e329-e336. 10.1016/j.ijrobp.2011.05.011View ArticlePubMedPubMed CentralGoogle Scholar
- Liu W, Frank SJ, Li X, Li Y, Zhu RX, Mohan R: PTV-based IMPT optimization incorporating planning risk volumes vs robust optimization. Med Phys 2013,40(2):021709. 10.1118/1.4774363View ArticlePubMedPubMed CentralGoogle Scholar
- Bortfeld T, Jokivarsi K, Goitein M, Kung J, Jiang SB: Effects of intra-fraction motion on IMRT dose delivery: statistical analysis and simulation. Phys Med Biol 2002, 47: 2203-2220. 10.1088/0031-9155/47/13/302View ArticlePubMedGoogle Scholar
- Paganetti H: Range uncertainties in proton therapy and the role of Monte Carlo simulations. Phys Med Biol 2002, 57: R99-R117.View ArticleGoogle Scholar
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